Learning fuzzy model for nonlinear system using evolution strategies with adaptive direction mutation

There are many methods to learn rules base for nonlinear system. The special method, the evolution strategies with adaptive direction, is presented in this paper. The actual steps and principle are also given. The simulation on results show this method is the effective one to learn rules base, and the faster generation rate can be obtained.

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